2006
DOI: 10.1007/s00109-006-0097-6
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Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formula

Abstract: For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative CT (DeltaDeltaCT) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel for… Show more

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Cited by 752 publications
(549 citation statements)
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“…The efficiency of every PCR reaction was calculated from the slope of its linear amplication region using at least 4 data points with LinRegPCR software (Ramakers et al, 2003;Supplemental Table 1). Efficiencies were either the same or the largest average difference was 0.02 (see Supplemental Table 1) with standard deviations of <= 0.02, the standard stated by Schefe et al (2006). The correlations (R-square) for each individual efficiency was >= 0.998, demonstrating a good fit.…”
Section: Discussionmentioning
confidence: 87%
“…The efficiency of every PCR reaction was calculated from the slope of its linear amplication region using at least 4 data points with LinRegPCR software (Ramakers et al, 2003;Supplemental Table 1). Efficiencies were either the same or the largest average difference was 0.02 (see Supplemental Table 1) with standard deviations of <= 0.02, the standard stated by Schefe et al (2006). The correlations (R-square) for each individual efficiency was >= 0.998, demonstrating a good fit.…”
Section: Discussionmentioning
confidence: 87%
“…Duplicate 25-μl real-time polymerase chain reaction (PCR) reactions were performed in 96-well plates using a SYBR-Green reaction mix and a Biorad iCycler according to the supplier's protocol with the following forward and reverse primers: glyceraldehydes-3 phosphate dehydrogenase (GAPDH), 5′-agcctcgtcccgtaga caaaat and 5′-tggcaacaatctccactttgc and HSP72, 5′-accaag cagacgcagatcttc and 5′-agcctcaagatcatcagcaatg. Data were quantified using the gene expression Ct difference method described by Schefe et al (2006) and standardized to levels of the housekeeping gene, GAPDH using Ct values automatically determined by the thermocycler. Briefly, the efficiency of amplification for each primer pair was calculated using the equation:…”
Section: Methodsmentioning
confidence: 99%
“…Each cDNA was analyzed in quadruplicate, and the average threshold cycle (Ct) was calculated for each sample. The relative expression levels were calculated using the 2 -△△CT method, 25) and the average Ct was analyzed for all genes to correct for differences in the cDNA input. All reactions were performed in duplicate.…”
Section: Rt-qpcrmentioning
confidence: 99%